title: Tendon extracellular matrix damage detection and quantification using automated edge detection analysis.
abstract: The accumulation of sub-rupture tendon fatigue damage in the extracellular matrix, particularly of type I collagen fibrils, is thought to contribute to the development of tendinopathy, a chronic and degenerative pathology of tendons. Quantitative assessment of collagen fibril alignment is paramount to understanding the importance of matrix injury to cellular function and remodeling capabilities. This study presents a novel application of edge detection analysis to calculate local collagen fibril orientation in tendon. This technique incorporates damage segmentation and stratification by severity which will allow future analysis of the direct effect of matrix damage severity on the cellular and molecular response.
authors.affiliation: Leni and Peter W. May Department of Orthopaedics, Icahn School of Medicine at Mount Sinai, 5 East 98th Street, 9th Floor, New York, NY 10029, United States.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Ros
authors.forename: Nelly
authors.initials: N
authors.lastname: Andarawis-Puri
authors.forename: Evan L
authors.initials: EL
authors.lastname: Flatow
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D024042:Collagen Type I / Q000032:analysis; D005109:Extracellular Matrix / Q000473:pathology*; D005221:Fatigue / Q000473:pathology; D005260:Female; D007091:Image Processing, Computer-Assisted; D008954:Models, Biological; D051381:Rats; D017207:Rats, Sprague-Dawley; D013623:Tail; D052256:Tendinopathy / Q000473:pathology; D013708:Tendon Injuries / Q000473:pathology*; D013710:Tendons / Q000166:cytology* / Q000473:pathology*
chemical_list: D024042:Collagen Type I
keywords: Automated damage analysis; Edge detection analysis; Tendinopathy; Tendon extracellular matrix damage; Tendon fatigue damage; Tendon overuse injury